Integrating Advanced Machine Learning Techniques for Multi-Class Skin Disease Diagnosis-Reference-Cited by-同舟云学术

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Integrating Advanced Machine Learning Techniques for Multi-Class Skin Disease Diagnosis

Published:2023-11-01 Issue: Volume:10 Page:1-6
ISSN:
Container-title:2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)
language:
Short-container-title:

Author:

Sarala B.¹,Suganthy M.²,Chebian W. T.³,SathyaSri B.⁴,Hepzhipah J. Jasmine¹,Perarasi M.¹,Akshaya K.¹

Affiliation:

1. R.M.K. Engineering College,Department of Electronics & Communication Engineering,-601206

2. Veltech Multitech Engineering College,Department of Electronics & Communication Engineering

3. Veltech Multitech Engineering College,Department of Computer Science Engineering

4. Veltech University,Department Electronics & Communication Engineering

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10368386/10368609/10368995.pdf?arnumber=10368995

Reference24 articles.

1. A systematic review of worldwide incidence of nonmelanoma skin cancer

2. Incidence, mortality and survival in cutaneous melanoma

3. Epidemiological trends in skin cancer

4. The Growing Burden of Invasive Melanoma: Projections of Incidence Rates and Numbers of New Cases in Six Susceptible Populations through 2031

5. Identification of Patients With Nonmelanoma Skin Cancer Using Health Maintenance Organization Claims Data

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